Mark Díaz
Cited by
Cited by
Addressing Age-Related Bias in Sentiment Analysis
M Díaz, I Johnson, A Lazar, AM Piper, D Gergle
Proceedings of the 2018 CHI Conference on Human Factors in Computing, 2018
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
Lamda: Language models for dialog applications
R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ...
arXiv preprint arXiv:2201.08239, 2022
Going gray, failure to hire, and the ick factor: Analyzing how older bloggers talk about ageism
A Lazar, M Díaz, R Brewer, C Kim, AM Piper
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
AM Davani, M Díaz, V Prabhakaran
Transactions of the Association of Computational Linguistics, 2021
" The cavalry ain't coming in to save us" Supporting Capacities and Relationships through Civic Tech
J Dickinson, M Díaz, CA Le Dantec, S Erete
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-21, 2019
On Releasing Annotator-Level Labels and Information in Datasets
V Prabhakaran, AM Davani, M Díaz
Empirical Methods in Natural Language Processing, 2021
Platforming intersectionality: Networked solidarity and the limits of corporate social Media
AJ Christian, F Day, M Díaz, C Peterson-Salahuddin
Social Media+ Society 6 (3), 2056305120933301, 2020
Inclusion of underserved residents in city technology planning
J Dickinson, S Erete, M Diaz, D Linn Riedl
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018
Whose walkability? challenges in algorithmically measuring subjective experience
M Díaz, N Diakopoulos
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-22, 2019
Whose ground truth? accounting for individual and collective identities underlying dataset annotation
E Denton, M Díaz, I Kivlichan, V Prabhakaran, R Rosen
arXiv preprint arXiv:2112.04554, 2021
Three directions for the design of human-centered machine translation
S Robertson, WH Deng, T Gebru, M Mitchell, DJ Liebling, M Lahav, ...
Google Research, 2021
Crowdworksheets: Accounting for individual and collective identities underlying crowdsourced dataset annotation
M Díaz, I Kivlichan, R Rosen, D Baker, R Amironesei, V Prabhakaran, ...
2022 ACM Conference on Fairness, Accountability, and Transparency, 2342-2351, 2022
Biases as Values: Evaluating Algorithms in Context
M Díaz
Northwestern University, 2020
Algorithmic Technologies and Underrepresented Populations
M Díaz
Conference Companion Publication of the 2019 on Computer Supported …, 2019
Accounting for Offensive Speech as a Practice of Resistance
M Díaz, R Amironesei, L Weidinger, I Gabriel
Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 192-202, 2022
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
S Robertson, M Díaz
2022 ACM Conference on Fairness, Accountability, and Transparency, 2223-2238, 2022
LaMDA: Language Models for Dialog Applications
AD Cohen, A Roberts, A Molina, A Butryna, A Jin, A Kulshreshtha, ...
Three Directions for the Design of Human-Centered Machine Translation
DJ Liebling, K Heller, M Mitchell, M Díaz, M Lahav, N Salehi, S Robertson, ...
Making the Invisible Visible: Health, Data, and Race-Conscious Latinidad
T Díaz, M Díaz
Harvard Kennedy School Journal of Hispanic Policy 33, 42, 2021
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